Large Language Models

An Introduction

Oswald Campesato (Autor)

Buch | Softcover

480 Seiten

2024
De Gruyter (Verlag)
978-1-5015-2329-8 (ISBN)

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This book begins with an overview of the Generative AI landscape, distinguishing it from conversational AI and shedding light on the roles of key players like DeepMind and OpenAI. It then reviews the intricacies of ChatGPT, GPT-4, and Gemini, examining their capabilities, strengths, and competitors. Readers will also gain insights into the BERT family of LLMs, including ALBERT, DistilBERT, and XLNet, and how these models have revolutionized natural language processing. Further, the book covers prompt engineering techniques, essential for optimizing the outputs of AI models, and addresses the challenges of working with LLMs, including the phenomenon of hallucinations and the nuances of fine-tuning these advanced models. Designed for software developers, AI researchers, and technology enthusiasts with a foundational understanding of AI, this book offers both theoretical insights and practical code examples in Python. Companion files with code, figures, and datasets are available for downloading from the publisher.

Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, LLMs for Developers, and GPT-4 for Developers (all Mercury Learning).

Erscheinungsdatum	10.10.2024
Reihe/Serie	MLI Generative AI Series
Verlagsort	New York
Sprache	englisch
Gewicht	704 g
Themenwelt	Informatik ► Software Entwicklung ► Spieleprogrammierung
	Mathematik / Informatik ► Informatik ► Web / Internet
	Technik ► Maschinenbau
ISBN-10	1-5015-2329-5 / 1501523295
ISBN-13	978-1-5015-2329-8 / 9781501523298
Zustand	Neuware